scholarly journals A hybrid open-top light-sheet microscope for multi-scale imaging of cleared tissues

Author(s):  
Adam Glaser ◽  
Kevin Bishop ◽  
Lindsey Barner ◽  
Etsuo Susaki ◽  
Shimpei Kubota ◽  
...  

Abstract Light-sheet microscopy has emerged as the preferred means for high-throughput volumetric imaging of cleared tissues. However, there is a need for a user-friendly system that can address imaging applications with varied requirements in terms of resolution (mesoscopic to sub-micrometer), sample geometry (size, shape, and number), and compatibility with tissue-clearing protocols and sample holders of various refractive indices. We present a ‘hybrid’ system that combines a novel non-orthogonal dual-objective and conventional (orthogonal) open-top light-sheet architecture for versatile multi-scale volumetric imaging.

Author(s):  
Adam K. Glaser ◽  
Kevin W. Bishop ◽  
Lindsey A. Barner ◽  
Robert B. Serafin ◽  
Jonathan T.C. Liu

AbstractLight-sheet microscopy has emerged as the preferred means for high-throughput volumetric imaging of cleared tissues. However, there is a need for a user-friendly system that can address diverse imaging applications with varied requirements in terms of resolution (mesoscopic to sub-micron), sample geometry (size, shape, and number), and compatibility with tissue-clearing protocols of different refractive indices. We present a hybrid system that combines a novel non-orthogonal dual-objective and conventional open-top light-sheet architecture for highly versatile multi-scale volumetric imaging.One sentence summaryGlaser et al. describe a hybrid open-top light-sheet microscope to image cleared tissues at mesoscopic to sub-micron resolution and depths of up to 1 cm.


2019 ◽  
Vol 1 (01) ◽  
pp. 1 ◽  
Author(s):  
Peng Fei ◽  
Jun Nie ◽  
Juhyun Lee ◽  
Yichen Ding ◽  
Shuoran Li ◽  
...  

2018 ◽  
Author(s):  
Peng Fei ◽  
Jun Nie ◽  
Juhyun Lee ◽  
Yichen Ding ◽  
Shuoran Li ◽  
...  

A key challenge when imaging whole biomedical specimens is how to quickly obtain massive cellular information over a large field of view (FOV). Here, we report a sub-voxel light-sheet microscopy (SLSM) method enabling high-throughput volumetric imaging of mesoscale specimens at cellular-resolution. A non-axial, continuous scanning strategy is used to rapidly acquire a stack of large-FOV images with three-dimensional (3-D) nanoscale shifts encoded. Then by adopting a sub-voxel-resolving procedure, the SLSM method models these low-resolution, cross-correlated images in the spatial domain and iteratively recovers a 3-D image with improved resolution throughout the sample. This technique can surpass the optical limit of a conventional light-sheet microscope by more than three times, with high acquisition speeds of gigavoxels per minute. As demonstrated by quick reconstruction (minutes to hours) of various samples, e.g., 3-D cultured cells, an intact mouse heart, mouse brain, and live zebrafish embryo, the SLSM method presents a high-throughput way to circumvent the tradeoff between intoto mapping of large-scale tissue (>100 mm3) and isotropic imaging of single-cell (~1-μm resolution). It also eliminates the need of complicated mechanical stitching or precisely modulated illumination, using a simple light-sheet setup and fast graphics-processing-unit (GPU)-based computation to achieve high-throughput, high-resolution 3-D microscopy, which could be tailored for a wide range of biomedical applications in pathology, histology, neuroscience, etc.


Author(s):  
Emilio J. Gualda ◽  
Matteo Bernardello ◽  
Maria Marsal ◽  
Pablo Loza Alvarez

Lab on a Chip ◽  
2021 ◽  
Author(s):  
Xiaopeng Chen ◽  
Junyu Ping ◽  
Yixuan Sun ◽  
Chengqiang Yi ◽  
Sijian Liu ◽  
...  

Volumetric imaging of dynamic signals in a large, moving, and light-scattering specimen is extremely challenging, owing to the requirement on high spatiotemporal resolution and difficulty in obtaining high-contrast signals. Here...


2016 ◽  
Vol 110 (6) ◽  
pp. 1456-1465 ◽  
Author(s):  
Kevin M. Dean ◽  
Philippe Roudot ◽  
Carlos R. Reis ◽  
Erik S. Welf ◽  
Marcel Mettlen ◽  
...  

2015 ◽  
Vol 9 ◽  
Author(s):  
Ludovico Silvestri ◽  
Marco Paciscopi ◽  
Paolo Soda ◽  
Filippo Biamonte ◽  
Giulio Iannello ◽  
...  

Neuron ◽  
2020 ◽  
Vol 106 (3) ◽  
pp. 369-387 ◽  
Author(s):  
Hiroki R. Ueda ◽  
Hans-Ulrich Dodt ◽  
Pavel Osten ◽  
Michael N. Economo ◽  
Jayaram Chandrashekar ◽  
...  

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